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materials for the sequestration of heavy metals (particularly palladium) and their subsequent use as heterogeneous catalysts. The project will therefore consist of developing and characterizing original
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these projects Francesca Vidussi and Behzad Mostajir. This project will use several statistical data processing techniques to assess the health of these two study sites and the effects of global warming
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-Ferrand area (63178 Aubière). The position is assigned to the Probabilities, Analysis and Statistics (PAS) research team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6620-VALERIE-018
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, mask design, and use of Focused Ion Beam (FIB) techniques; - Expertise in 2D materials, particularly graphene; - Strong skills in spectroscopy (Raman, instrumentation, data processing and analysis
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI
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). • Carry out acquisition, processing, and analysis of behavioral, EEG, and fMRI data. • Ensure ethical compliance of experimental activities and guarantee adherence to consent and confidentiality procedures
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2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire Rhéologie et Procédés Research Field Engineering Chemistry Physics Researcher Profile Recognised Researcher (R2) Country
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to be fast in practice, but the framework of worst-case analysis is unable to explain this observation. Different analysis frameworks have been proposed to explain the good performance of the algorithm
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to field data collected by consultancy firms or NGOs on the basis of rigorous protocols repeated over time. This post-doctorate will therefore be largely dedicated to data analysis and the definition of data